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Senior Data Scientist – AI Modeling
| Company | Baxter International |
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| Location | United States |
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| Salary | $104000 – $143000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field.
- 4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production.
- Software development experience.
- Experience with modern data science tools; their primary stack is Spark, Scala, Python, Databricks, and more.
- Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau).
Responsibilities
- Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences.
- Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services.
- Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights.
- Prepare data for effective model training.
- Develop, train, and evaluate predictive AI models using various tailored to specific problems.
- Continuously refine and optimize models for performance, scalability, and efficiency.
- Deploy models into production environments and supervise their performance.
- Identify opportunities where generative AI models can add value.
- Explore and experiment with generative models (e.g., GPT) suitable for the chosen application.
- Train and evaluate generative models, fine-tuning parameters for desired outputs.
- Integrate generative models into production workflows or applications.
- Work with data-sets of varying degrees of size and complexity including both structured and unstructured data.
- Implements batch and real-time model scoring to drive actions.
- Develop sophisticated visualization of analysis output for various users.
- Determines the continuous improvement opportunities of current predictive modeling algorithms.
Preferred Qualifications
- Experience with healthcare data and working in a HIPAA regulated environment preferred.
- Experience with varying database structures and large datasets preferred.
- Experience in Microsoft Azure cloud environment is preferred.
